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			80 lines
		
	
	
		
			2.7 KiB
		
	
	
	
		
			Python
		
	
			
		
		
	
	
			80 lines
		
	
	
		
			2.7 KiB
		
	
	
	
		
			Python
		
	
import numpy as np
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from pandas._typing import npt
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def inner_join(
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    left: np.ndarray,  # const intp_t[:]
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    right: np.ndarray,  # const intp_t[:]
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    max_groups: int,
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    sort: bool = ...,
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) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ...
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def left_outer_join(
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    left: np.ndarray,  # const intp_t[:]
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    right: np.ndarray,  # const intp_t[:]
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    max_groups: int,
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    sort: bool = ...,
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) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ...
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def full_outer_join(
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    left: np.ndarray,  # const intp_t[:]
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    right: np.ndarray,  # const intp_t[:]
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    max_groups: int,
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) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ...
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def ffill_indexer(
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    indexer: np.ndarray,  # const intp_t[:]
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) -> npt.NDArray[np.intp]: ...
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def left_join_indexer_unique(
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    left: np.ndarray,  # ndarray[join_t]
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    right: np.ndarray,  # ndarray[join_t]
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) -> npt.NDArray[np.intp]: ...
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def left_join_indexer(
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    left: np.ndarray,  # ndarray[join_t]
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    right: np.ndarray,  # ndarray[join_t]
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) -> tuple[
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    np.ndarray,  # np.ndarray[join_t]
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    npt.NDArray[np.intp],
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    npt.NDArray[np.intp],
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]: ...
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def inner_join_indexer(
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    left: np.ndarray,  # ndarray[join_t]
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    right: np.ndarray,  # ndarray[join_t]
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) -> tuple[
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    np.ndarray,  # np.ndarray[join_t]
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    npt.NDArray[np.intp],
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    npt.NDArray[np.intp],
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]: ...
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def outer_join_indexer(
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    left: np.ndarray,  # ndarray[join_t]
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    right: np.ndarray,  # ndarray[join_t]
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) -> tuple[
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    np.ndarray,  # np.ndarray[join_t]
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    npt.NDArray[np.intp],
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    npt.NDArray[np.intp],
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]: ...
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def asof_join_backward_on_X_by_Y(
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    left_values: np.ndarray,  # ndarray[numeric_t]
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    right_values: np.ndarray,  # ndarray[numeric_t]
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    left_by_values: np.ndarray,  # const int64_t[:]
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    right_by_values: np.ndarray,  # const int64_t[:]
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    allow_exact_matches: bool = ...,
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    tolerance: np.number | float | None = ...,
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    use_hashtable: bool = ...,
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) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ...
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def asof_join_forward_on_X_by_Y(
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    left_values: np.ndarray,  # ndarray[numeric_t]
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    right_values: np.ndarray,  # ndarray[numeric_t]
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    left_by_values: np.ndarray,  # const int64_t[:]
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    right_by_values: np.ndarray,  # const int64_t[:]
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    allow_exact_matches: bool = ...,
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    tolerance: np.number | float | None = ...,
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    use_hashtable: bool = ...,
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) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ...
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def asof_join_nearest_on_X_by_Y(
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    left_values: np.ndarray,  # ndarray[numeric_t]
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    right_values: np.ndarray,  # ndarray[numeric_t]
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    left_by_values: np.ndarray,  # const int64_t[:]
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    right_by_values: np.ndarray,  # const int64_t[:]
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    allow_exact_matches: bool = ...,
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    tolerance: np.number | float | None = ...,
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    use_hashtable: bool = ...,
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) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ...
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